Senior Python Risk Tech Lead – Market Risk Platform

McGregor Boyall; Greater London; Hybrid; GBP 150,000 - 190,000; Full time

Job summary

McGregor Boyall is seeking a Python Developer with strong Market Risk knowledge to join a London-based risk technology initiative. You will design, build and enhance scalable risk applications used by risk managers across multiple asset classes, including equities, FX, fixed income, and mortgages.

The role involves working on a greenfield platform, collaborating with risk managers and technology teams to deliver high-performance Python services and data-driven risk calculations on large data

Qualifications

• Strong commercial Python development experience.
• Experience developing Market Risk or closely related risk technology.
• Good understanding of VaR, Greeks and sensitivities.
• Strong database and SQL knowledge.
• Experience with Snowflake is highly desirable.
• Experience building scalable or distributed applications.
• Understanding of financial products and their associated risk.
• Experience working directly with Risk Managers, Quants or Front Office stakeholders.
• AWS experience beneficial.
• C#/.NET experience would be advantageous but is not essential.
• Experience across Equities, Fixed Income, Credit, FX or Commodities can all be relevant.

Responsibilities

• Design, build and enhance scalable risk applications.
• Take ownership of technically challenging problems across risk generation, calculation and analysis.
• Work with Risk Managers and technology teams to translate requirements into technical solutions.
• Build high performance risk applications primarily in Python.
• Onboard new asset classes to the platform and enhance functionality.

Skills

Python

Market Risk

VaR

Greeks

SQL

Snowflake

AWS

.NET/C#

Equities

Fixed Income

FX

Commodities

Tools

Snowflake

AWS

.NET

Job description

McGregor Boyall is seeking a Python Developer with strong Market Risk knowledge to join a London-based risk technology initiative. You will design, build and enhance scalable risk applications used by risk managers across multiple asset classes, including equities, FX, fixed income, and mortgages.

The role involves working on a greenfield platform, collaborating with risk managers and technology teams to deliver high-performance Python services and data-driven risk calculations on large data